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dc.contributor.advisorOtero, Carlos E.
dc.contributor.authorLowing, Nicholas James
dc.date.accessioned2019-05-07T19:30:58Z
dc.date.available2019-05-07T19:30:58Z
dc.date.created2018-12
dc.date.issued2018-12
dc.date.submittedDecember 2018
dc.identifier.urihttp://hdl.handle.net/11141/2802
dc.descriptionThesis (M.S.) - Florida Institute of Technology, 2018en_US
dc.description.abstractVirtual system migration has revolutionized modern computing. As an advantageous byproduct of virtualization, virtual system migration has allowed for cheaper, more robust cloud management. The selection of a destination host during migration is a key component of migration management. However, there is currently no state-of-the-art, standardized framework for making this decision. Previous work related to automated load balancing is plentiful, but when load balancing is not the primary focus of the cloud management strategy there is a lack of research. We focus on this case, where virtual systems are no longer moved based on some predefined optimization pattern, but rather as single migration events triggered by some alerting mechanism. This is typically seen in cyber-resiliency management systems. The goal of this thesis is to present MINDFul: a novel virtual system migration decision-making framework. MINDFul is then prototyped for a cyber-resiliency management system to facilitate automated resiliency efforts. We demonstrate that MINDFul is a powerful and flexible framework consistent with modern, state-of-the-art efforts in automated cyber-resiliency management.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleMINDFul: A Novel Virtual System Migration Decision-making Framework for Automated Cyber-Resiliencyen_US
dc.typeThesisen_US
dc.date.updated2019-04-11T13:26:21Z
thesis.degree.nameMaster of Science in Computer Engineeringen_US
thesis.degree.levelMastersen_US
thesis.degree.disciplineComputer Engineeringen_US
thesis.degree.departmentComputer Engineering and Sciencesen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
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